BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Neerby//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:neerby-event-14283@neerby.io
DTSTAMP:20260405T220206Z
DTSTART:20260406T173000
DTEND:20260406T193000
SUMMARY:Debunking the myths of Quantum AI
DESCRIPTION:PyData St. Louis\nJoin us at PyData St. Louis for a talk and community discussion on debunking the myths of Quantum AI and understanding what the technology can realistically do today.\nQuantum computing and AI are often discussed together\, but many claims about “Quantum AI” are misunderstood or exaggerated. This session will explore what quantum computing actually is\, where it might intersect with machine learning\, and what data scientists should realistically expect from the field.\nPizza and networking will begin at **5:30 PM**\, and the talk will start at **6:15 PM**.\nIn this session\, we’ll cover:\n• What quantum computing is in simple terms\n• Common myths about Quantum AI and why they exist\n• What current quantum hardware can and cannot do\n• Where quantum-inspired ideas are already influencing machine learning\nThe talk is beginner friendly and open to anyone interested in data science\, machine learning\, or emerging technologies.\nAfter the talk\, we’ll leave time for questions\, discussion\, and networking from **6:50 PM** to **7:30 PM** with others in the local data community.\n\n**Pizza will be provided.**\n\nWho should attend?\nAnyone curious about data science\, machine learning\, or quantum technologies including students\, professionals\, hobbyists\, and beginners.\n\n**Special thanks to Spark Coworking for providing the venue and supporting the local data science community.**\n\nCome learn\, connect\, and be part of the PyData St. Louis community!\n\nPyData St. Louis is part of the global PyData community. PyData is an educational program of NumFOCUS\, a nonprofit organization that promotes open practices in research\, data\, and scientific computing.
LOCATION:PyData St. Louis\, Saint Louis\, MO
URL:https://neerby.io/event/14283
END:VEVENT
END:VCALENDAR